impeccable
The design vocabulary for your coding agent. Steer with polish and bolder, review with critique and audit, catch AI slop before it ships.
No outside reports on file
Use this tool to improve code quality, but don't treat it as a security guarantee—always combine it with human review, especially for security-critical code.
Based on public adoption and transparency signals as of Oct 28, 2026. Our opinion, not a code audit or security guarantee.
What it can access
- Local filesNo local folder access notedLOW
- Command executionNo shell command runner notedLOW
- Network reachConnects to outside service APINOTED
- CredentialsNo API token requiredLOW
- Package sourceGitHub (pbakaus/impeccable)PUBLIC
Inferred from this listing’s public package details and description. Check the project’s source before installing.
Install
No npm or PyPI package is listed. Install from source: github.com/pbakaus/impeccable ↗
Everything known
We found nothing about this project in the sources we read (last checked 2026-10-30). That does not mean it has no problems.
0 incidents · 0 advisories · 0 news articles · 0 community threads · checked 2026-10-30
Popularity grade: B (from public signals such as stars and downloads, not a code review). Graded 2026-10-28.
Sources we read: OSV, GitHub Advisory Database, CISA Known Exploited Vulnerabilities, 44 security news feeds and our incident library. Last checked 2026-10-30.
About Impeccable
Impeccable is a design vocabulary and toolkit for coding agents that helps review and improve code quality before it's deployed. It provides templates, guidelines, and audit checks to catch mistakes and reduce low-quality AI-generated code from reaching production.
Who it’s for
Developers building AI coding assistants or agents who want quality control frameworks. Teams that need structured ways to review and critique AI-generated code before shipping it.
Alternatives
- SonarQube: Static code analysis platform with security and quality rules (not AI-focused).
- DeepSource: Automated code review tool that catches bugs and anti-patterns.
- GitHub's code scanning: Built-in security scanning for vulnerabilities in repositories.
- Linting tools (ESLint, Pylint): Traditional style and error checkers for specific languages.
Setup
Check these steps against the project’s own instructions before running anything.
Follow the project's README. The GitHub repository appears to be the primary source; check https://github.com/pbakaus/impeccable (opens external site) for installation instructions specific to your setup.
Why this grade
Signal-based grade (4/7 points): very widely starred on GitHub, public source code. This reflects adoption and transparency, not a code review.
Popularity and upkeep
- GitHub stars
- 95.2k
- Listing last refreshed
- 2026-10-29
These are public popularity signals, not a maintenance check. Look at the repository’s commit history and open issues.
Risks to watch for
- Access to codebase: The agent can read and analyze your entire code repository, including sensitive logic and potential secrets in comments or configuration files.
- False confidence: The tool may mark code as "safe" when it actually has security or logic flaws, leading developers to trust AI output more than warranted.
- Prompt injection in code: If your code contains malicious comments or strings, they could influence the agent's review critiques in unexpected ways.
- Data leakage through reports: Code review summaries or audit logs might expose proprietary algorithms or patterns if stored or shared insecurely.
- Dependency trust: The tool depends on other packages; vulnerabilities in dependencies could compromise the review process itself.
How to lower the risk
Least-privilege permissions
- Run the agent on read-only copies of code when possible.
- Limit access to production repositories; use it on development branches first.
Network isolation
- Keep the agent disconnected from external APIs unless absolutely necessary.
- Don't connect it to live databases or services during review runs.
Monitoring
- Log what code the agent reviews and what it flags or changes.
- Track which files are accessed and any outputs or summaries generated.
Red flags to watch for
- Agent suddenly approving obviously broken or unsafe code.
- Unexpected network requests or file writes during review.
- Large gaps between what you ran and what the tool reports.
Questions
How do I install Impeccable?
Impeccable does not publish a standalone npm or PyPI package. Clone or follow the setup instructions in its source repository at github.com/pbakaus/impeccable.
Are there security reports about Impeccable?
No reports found for this package in our research (last checked 2026-10-30). Impeccable currently holds Grade B (Some risk signals) based on public adoption and transparency signals. Key risk areas to watch include access to codebase, false confidence, prompt injection in code.
Is Impeccable actively maintained?
Impeccable has 95.2k GitHub stars. Our directory data was last refreshed on 2026-10-29. Check recent commit activity, release tags, and open issues at github.com/pbakaus/impeccable before pinning it in production.
What are alternatives to Impeccable?
Notable alternatives to Impeccable include SonarQube (Static code analysis platform with security and quality rules (not AI-focused)), DeepSource (Automated code review tool that catches bugs and anti-patterns), GitHub's code review (Built-in security review for vulnerabilities in repositories), Linting tools (ESLint, Pylint) (Traditional style and error checkers for specific languages). You can also compare Impeccable side by side with other skills in the Related tools section on this page.
README badge and team notes
Maintain or use Impeccable? Show its live grade in your GitHub README, docs site, or run a check from the terminal before you install.
GitHub README Markdown:
[](https://agentarmorhq.com/skills/pbakaus-impeccable)HTML embed:
<a href="https://agentarmorhq.com/skills/pbakaus-impeccable"><img src="https://agentarmorhq.com/api/badge/pbakaus-impeccable" alt="AgentArmorHQ Risk Grade for Impeccable" height="20" /></a>Terminal check:
curl -fsSL https://agentarmorhq.com/api/cli | node --input-type=module - check "pbakaus-impeccable"Share with your security lead
Need sign-off to use impeccable? Copy this note for Slack, a ticket or a pull request.
### AgentArmorHQ Security Review Memo: impeccable
- **Listing URL:** https://agentarmorhq.com/skills/pbakaus-impeccable
- **Type:** AI agent skill
- **Risk Grade:** Grade B (Some risk signals)
- **Outside Security Advisories on File:** 0
- **Public Adoption:** 95.2k GitHub stars
#### Permission & Blast-Radius Signals
- **Local files:** No local folder access noted
- **Command execution:** No shell command runner noted
- **Network reach:** Connects to outside service API
- **Credentials:** No API token required
- **Package source:** GitHub (pbakaus/impeccable)
#### Recommended Hardened Setup
- **Source Repo:** https://github.com/pbakaus/impeccable
- **Controls:** Pin an exact version in `.mcp.json`, scope access to a single workspace folder, and use a least-privilege read-only token where supported.
_Based on public adoption and transparency signals as of Oct 28, 2026. Our opinion, not a code audit or security guarantee._Key facts
- Type
- AI agent skill
- Publisher
- pbakaus
- Source code
- github.com/pbakaus/impeccable
- Est. context load
- ~61 tokens idle · ~450 tokens when active (on-demand skill)
- Popularity
- 95.2k GitHub stars
- Last updated
- 2026-10-29
- Last graded
- 2026-10-28
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